AN EXTREME TURN-OF-THE-CENTURY HYDROLOGIC EVENT RECORDED IN δ O FROM BRISTLECONE

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AN EXTREME TURN-OF-THE-CENTURY HYDROLOGIC

EVENT RECORDED IN δ 18 O FROM BRISTLECONE

PINE TREE-RING CELLULOSE

Max B. Berkelhammer and Lowell D. Stott

Department of Earth Sciences

University of Southern California

Pacific Climate Conference

May 14, 2007

Bristlecone Pine Trees

• Ring-width (Hughes, LaMarche, Fritts etc…): temperature, volcanism, precipitation.

• δ 13 C (Leavitt, Epstein): drought, soil moisture, atmospheric CO

2

• δ 14 C (Stuvier, Suess, Ferguson): radiocarbon calibration, solar variability

• D/H (Feng and Epstein): Temperature

• δ 18 O: ????

En route to

Cellulose:

1) Precipitation

4) Evapotranspiration

5) Photosynthesis

6) Translocation

2) Infiltration

3) Uptake

7) Cellulose

Synthesis

Source Water/Precipitation:

• Temperature

• Trajectory/source region

• “Amount effect”

Leaf-atmosphere Response

• Humidity

• Stomatal conductance

• Temperature/wind

Evaporative Process

R leaf

= α * [ α k

R source

( e i

− e s e i

Inter-leaf Diffusion

) + α kb

R source

( e s

− e a e i

Movement across leaf boundary

) + R a

( e a e i

)]

Exchange with atmosphere

• leaf =Leaf Water

• source =Source Water

• R =isotopic ratio

• e = Vapor Pressure term

• s =Leaf Surface

• i =Interleaf

• a =Atmosphere

• α *= water-vapor fractionation factor

(temperature-dependent)

• α k

=kinetic fractionation factor

(inter-leaf diffusion)

• α kb

=kinetic fractionation factor

(leaf-atmosphere boundary diffusion)

SEM image of open stomata

From: Roden et al. 2000

Isotope signature of cellulose

δ 18 O cellulose

= f

0

• ( δ 18 O source

+ ε

0

) + ( 1 − f

0

) • ( δ 18 O leaf

+ ε

0

)

Enriched

Sugars

+

Depleted

Source

Water

=

C

E

L

L

U

L

O

S

E

•Source water is substrate for synthesis of cellulose

•“F” term (0.42) describes amount of exchange between enriched photosynthates and source water

• “ ε ” is a biochemical fractionation factor (27‰) associated with the synthesis cellulose

From: Roden et al. 2000

Sites and species

San Gabriel Mountains:

Precipitation samples

White Mountains:

Cellulose Samples

Cellulose Isotope Methods

• Trees of similar age were cored with 5 mm increment borer

• Dated using Methusela Walk Chronology (ITRDB)

• Cores without missing rings were selected for analysis

• Sliced into annual samples under microscope with scalpel

• Extract cellulose from wood using a modified version of the “Brendel method” (Brendel, 2000)

• Pyrolysis at 1054° to produce CO

• Analysis on continuous flow IRMS, reported relative to

VSMOW

• Intermittent standards confirm 0.3‰ analytical uncertainty

Precipitation Methods

• Funnel collector with mineral oil to prevent evaporation

• Water collected following each precipitation event and collectors redeployed

• Water samples were equilibrated with CO known isotopic composition

2 of

• CO

2 was analyzed on a dual-inlet IRMS

• Isotopic composition of water was backcalculated

Bristlecone Pine δ

18

O Results

BcP4-1

BcP2-4

Bristlecone Pine δ

18

O Results

•Relatively stable

•Strong bidecadal

Red line is mean value

Instrumental Correlations

Palmer Drought Severity Index

(Cook et al. NCDC Database )

Bristlecone Pine δ 18 O

Proxy Correlations

Bristlecone Pine δ 18 O

Santa Barbara Basin Benthic δ 13 C

Interpreted as upwelling proxy

(Holsten et al. 2004)

Walker Lake δ 18 O

Interpreted as lake level proxy

(Yuan et al. 2006)

A Mechanistic Approach

•The major isotopic excursions correlate with climatic events as evidenced from instrumental and proxy records…

•Literature suggests this would be due to: a)Changes in Humidity b)Changes in Source Water c)A combination of the two

Modeling the impact of humidity

• Instrumental humidity record

• Modeling results to test humidity-cellulose sensitivity

Relative Humidity (%)

Modeling Results

• Instrumental humidity record

Modeling suggests:

• Humidity could only account for a fraction of the isotopic variability (~1.5‰)

• Modeling results

• A change in isotopic composition of source water is more likely candidate to explain major transition

Relative Humidity (%)

Scenario 1:

Changes in utilization

• Long residence time

• Subdued climate signature

• Generally enriched values

Deep Water

• Short Residence time

• Responsive to climate

• Generally depleted values

Shallow

Water

Scenario 1 (cont.):

Changes in utilization

Major earthquakes

Why to reject “Scenario 1”:

1. Magnitude of isotopic shift exceeds shallow/deep water isotopic gradient (Tang and Feng, 2001)

2. Earthquakes were likely too distal to generate a major hydrologic change

3. These trees have a characteristically shallow root system

Scenario 2: Change in storm tracks

Isoto pically deple ted

Isot opic ally enri che d d he ric en ly al ic op ot

Is

Isotopic Composition of Precipitation

• Friedman et al. 1992 showed isotopic composition of precipitation in the region has high seasonal and interannual variability.

• Data from individual storms during a winter season shows difference between North Pacific storms (~-11‰ ) and “Pineapple Express” storm (~-2.5‰ ) can be close to 9‰.

Subtropical “Atmospheric Rivers”

*

Modified From: Dettinger, 2005

* Ralph et al. 2004

“Pineapple Express” Scenario

• Storms currently occur a few times a year*

• Storms occur in December and January when the Jet Stream is at its southern most latitude*

• Seem to have a positive correlation with positive phase of PDO*

• Could subtropical storms have been the dominant winter storm type prior to 1850?

*(Dettinger, 2005)

Summary of findings

• Cellulose has similar spectrum as drought patterns in the area during the instrumental period

• Major mid-19 th century transition is documented in many other proxy records (regionally and globally)

• Geochemical modeling suggests that a change in source water is likely candidate to explain major transition

• Water utilization is possible but unlikely explanation

• Change in storm trajectories bringing sub-tropical storms

(enriched isotopic values) to the region could produce observed variability

Period of major climatic change

Proxy

Correlations

Bristlecone Pine δ 18 O

Interpreted as change in storm trajectories

Santa Barbara Basin Benthic δ 13 C

Interpreted as upwelling proxy

(Holsten et al. 2004)

Walker Lake δ 18 O

Interpreted as lake level proxy

(Yuan et al. 2006)

Acknowledgements

• Lowell Stott and Miguel Rincon (USC)

• Thomas Harlan (LTRR)

• John Louth (National Forest Service)

• Pat Chapman (Chapman Ranch)

• GSA and USC for funding

• Thanks for listening

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